How To Deploy ML Models With Google Cloud Run

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Learn how to deploy Machine Learning / Deep Learning models with Google Cloud Run. We build a simple app with TensorFlow and Flask, containerize it with Docker, and deploy it to Google Cloud Run.

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Timeline:
00:00 Introduction
00:52 Prepare Model
04:27 Write Flask App
12:20 Setup Google Cloud Project
12:59 Google Cloud SDK
13:47 Dockerfile
16:41 Deploy

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What other deployment methods would you like to see?

patloeber

Great job as always man 👏 much appreciated, alot of people show how to create a ml app but not how to deploy it

neo-the-one

Thank you very much sir. Your tutorial really helped me. I'm so glad I finally found a tutorial that worked for me 😁

nadillasyihaq

Thank you for your great videos, I have been using python for past 3 years but still didn't know many things, or using those things with knowing. I hope other would take advantage of these excellent tutorials, I will surely encourage my friends to watch and subscribe.

sambhawsharma

This was extremely helpful. Thank you so much!

rishiladdha

Wow man I am glad I subscribed I was there when you just started and so much proper content since then it’s amazing! Thank you so much for all Great stuff !!!!

yevg

Hello!
Thanks for this great tutorial. I have one question. We need to install docker in our computer to deploy the model on gcp?

petricaradan

Thanks for a great video. In addition to the video content, can you build a simple webapp using Dash and show the demonstration? Preferably, the end user can upload the image in the webapp and see the classification result. That will be cool!

ajinkyabankar

Just finished learning ML and was looking how to deploy. Awesome

jaggyjut

Can`t wait for this! Also will you do kubernetes in future some time too ?

Alecor_studio

gracias por todo el conocimiento dado.

elpapachelegendario

Any way to use GPU for the heavy computation model?

huijokim

Your video Literally saved my ass ...Dankeschon

bcg

It works for the first time but throws error on 2nd deploy:
Revision 'getprediction-00002-ved' is not ready and cannot serve traffic. The user-provided container
failed to start and listen on the port defined provided by the PORT=8080 environment variable.

placidnick

here you only had one "method" - index, what if i have multiple? do i have to do gcloud build multiple times?

gogplpo

How can I do if I want an esp32-cam to send the video live to the model deployed in Google Cloud?

lexx-dat

@patloeber Hi, I am getting CORS error after deploying a Sequential model using Keras, ML model when i am using it in my react app . Can you please help me. In Model I have different layers like embeding layer, Lstm layer etc.

shadwar

love you! can we deploy tf2 models without docker and just using app engine

sakaar-lok

Is it posible to use fastapi on google cloud run?

martinalarconcarbajal

How code request from android studio to get prediction?

-YogiDwiAndrian

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